Abstract
One of the most common factors that contributes to the deaths and injuries caused by road accidents is drowsiness. It can also affect the performance of a driver. Detecting eye blinks is an essential part of various driver safety applications. The rapid pace of blinking makes it incredibly challenging to detect eye blinks automatically. This paper presents a method that can be used to identify eye blinks captured by a camera. The suggested method takes into account the facial landmarks for each frame and then takes the distance between the eyes from these landmarks. The proposed technique calculates the positions of the facial landmarks, uses the Eye Aspect Ratio (EAR) to extract a single scalar quantity, and determines the eye closeness in each frame.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Advanced Research in Science, Communication and Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
